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    Condition-Dependent Maintenance Effectiveness in Dynamic Performance Models for Transportation Infrastructure

    Source: Journal of Infrastructure Systems:;2013:;Volume ( 019 ):;issue: 001
    Author:
    James C. Chu
    DOI: 10.1061/(ASCE)IS.1943-555X.0000092
    Publisher: American Society of Civil Engineers
    Abstract: Dynamic performance models that combine performance prediction and maintenance effectiveness are required for state-of-the-art optimization techniques such as optimal control. Because records of maintenance effectiveness depend on facility condition, nonlinear models are necessary to include interactions between variables to account for this dependence and estimate condition-dependent maintenance effectiveness. Therefore, this paper proposes a procedure for estimating nonlinear dynamic performance models that capture interactions between variables using panel data. The relationships between maintenance effectiveness and current facility condition and between structural design and traffic impact were found to be polynomial in a numerical example of highway pavements. It was also demonstrated that imposing physical constraints on the maintenance effectiveness based on external data sources generated more reasonable models when self-selected samples were used for estimation.
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      Condition-Dependent Maintenance Effectiveness in Dynamic Performance Models for Transportation Infrastructure

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    http://yetl.yabesh.ir/yetl1/handle/yetl/65678
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    contributor authorJames C. Chu
    date accessioned2017-05-08T21:53:47Z
    date available2017-05-08T21:53:47Z
    date copyrightMarch 2013
    date issued2013
    identifier other%28asce%29is%2E1943-555x%2E0000120.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65678
    description abstractDynamic performance models that combine performance prediction and maintenance effectiveness are required for state-of-the-art optimization techniques such as optimal control. Because records of maintenance effectiveness depend on facility condition, nonlinear models are necessary to include interactions between variables to account for this dependence and estimate condition-dependent maintenance effectiveness. Therefore, this paper proposes a procedure for estimating nonlinear dynamic performance models that capture interactions between variables using panel data. The relationships between maintenance effectiveness and current facility condition and between structural design and traffic impact were found to be polynomial in a numerical example of highway pavements. It was also demonstrated that imposing physical constraints on the maintenance effectiveness based on external data sources generated more reasonable models when self-selected samples were used for estimation.
    publisherAmerican Society of Civil Engineers
    titleCondition-Dependent Maintenance Effectiveness in Dynamic Performance Models for Transportation Infrastructure
    typeJournal Paper
    journal volume19
    journal issue1
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000092
    treeJournal of Infrastructure Systems:;2013:;Volume ( 019 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian